Andrew Roberts
Andrew Roberts is a PhD student in Computing and Data Sciences at Boston University, working with Professor Jonathan Huggins and Professor Michael Dietze. He is broadly interested in scientific machine learning, Bayesian modeling, and uncertainty quantification, with the goal of developing new methodologies for environmental and ecological applications. Andrew’s current work focuses on developing statistical […]
Gabe McDonnell-Maayan
Gabe McDonnell-Maayan is a PhD candidate in Boston University’s Faculty of Computing and Data Sciences whose work bridges computational innovation and pressing societal challenges. His research applies tools from complexity science—such as system dynamics modeling, agent-based modeling, and machine learning—to understand and influence the behavior of complex social systems. Gabe’s primary focus is advancing suicide […]
Kevin Quinn
Kevin is a PhD student at Boston University working with Professor Mark Crovella and Professor Evimaria Terzi. Kevin’s research focuses on the design and application of interpretable machine learning models, specifically for unsupervised clustering problems. He previously completed a BA in mathematics and computer science at BU. Research focus: Interpretable machine learning